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Cooperation and Integration in 6G Heterogeneous Networks - Resource Allocation and Networking (Hardcover, 1st ed. 2023)
Loot Price: R5,749
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Cooperation and Integration in 6G Heterogeneous Networks - Resource Allocation and Networking (Hardcover, 1st ed. 2023)
Series: Wireless Networks
Expected to ship within 12 - 17 working days
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To provide ubiquitous and various services, 6G networks tend to be
more comprehensive and multidimensional by integrating current
terrestrial networks with space-/air-based information networks and
marine information networks; then, heterogeneous network resources,
as well as different types of users and data, will be also
integrated. Driven by the exponentially growing demands of
multimedia data traffic and computation-heavy applications, 6G
heterogenous networks are expected to achieve a high QoS with
ultra-reliability and low latency. In response, resource allocation
has been considered an important factor that can improve 6G
performance directly by configuring heterogeneous communication,
computing and caching resources effectively and efficiently. The
book addresses a range of technical issues in cooperative resource
allocation and information sharing for the future 6G heterogenous
networks, from the terrestrial ultra-dense networks and space-based
networks to the integrated satellite-terrestrial networks, as well
as introducing the effects of cooperative behavior among mobile
users on increasing capacity, trustworthiness and privacy. For the
cooperative transmission in heterogeneous networks, the authors
commence with the traffic offloading problems in terrestrial
ultra-dense networks, and the cognitive and cooperative mechanisms
in heterogeneous space-based networks, the stability analysis of
which is also provided. Moreover, for the cooperative transmission
in integrated satellite-terrestrial networks, the authors present a
pair of dynamic and adaptive resource allocation strategies for
traffic offloading, cooperative beamforming and traffic prediction
based cooperative transmission. Later, the authors discuss the
cooperative computation and caching resource allocation in
heterogeneous networks, with the highlight of providing our current
studies on the game theory, auction theory and deep reinforcement
learning based approaches. Meanwhile, the authors introduce the
cooperative resource and information sharing among users, in which
capacity oriented-, trustworthiness oriented-, and privacy oriented
cooperative mechanisms are investigated. Finally, the conclusion is
drawn.
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